Funeral Services

Data Engineering

Building A Unified Fabric Data Warehouse for a Leading Funeral Services Enterprise

A major cemetery and funeral services company struggled with fragmented data sources and unstable reporting pipelines. These gaps slowed key business decisions and created persistent blind spots across operations.

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Challenge

Solution

The Outcome

The Challenge

A leading memorial services enterprise needed unified, trustworthy data to drive decisions. Their existing setup created compounding pipeline failures. This threatened reporting accuracy and team productivity.

Unstable Data Ingestion

Multiple source APIs frequently returned incomplete or missing data. This made consistent ingestion nearly impossible. Without structured validation and fallback mechanisms, pipelines failed silently. Analysts were left working from partially populated, unverified datasets.

Continuously Shifting Schema Environments

Their Snowflake environment changed constantly. Tables were added, columns modified, and structures deleted without warning. Each undetected schema change triggered downstream processing failures. Engineering teams were forced into reactive, time-consuming manual fixes.

The Solution

Entrans delivered a centralized Microsoft Fabric data warehouse with an end-to-end medallion pipeline. It replaced fragile, fragmented setups with a governed, production-grade architecture built for long-term consistency.

Medallion Architecture Setup

We structured data across Bronze, Silver, and Gold layers. This kept raw ingestion, validated transformation, and business-ready reporting cleanly separated and consistently dependable.

API Validation and Fallback Logic

‍The pipeline automatically detects and bypasses APIs returning empty or incomplete payloads. All missing data scenarios are logged for structured downstream review.

Automated Schema Change Alerting

‍We built monitoring that instantly flags table additions, column modifications, and deletions. A client review and approval workflow runs before any structural change enters the warehouse.

Adaptive Pipeline Architecture

‍Pipelines in Microsoft Fabric are designed to absorb changes in source systems. Data integrity is maintained without requiring manual fixes after every upstream change.

Production-Grade Daily Scheduling

‍The entire pipeline runs on a governed daily schedule. This keeps data available and up to date across all reporting layers without manual intervention.

The Outcome

The business now runs from a single, trusted data foundation. Automated pipelines and structured governance have removed reactive firefighting. Confidence in reporting has been restored across every business unit.

100% pipeline continuity maintained across dynamic Snowflake schema changes.

Zero manual interventions required after automated validation and deployment.

Unified reporting across all data sources delivered within a single governed platform.

We have been working with Entrans for the last two years and they have played a key role in building our solution. Their expertise and professionalism were evident throughout the development cycle, and we were very pleased with the final product. They have shown enormous skill and vast domain knowledge and their IT expertise is reliable and trustworthy. We would recommend Entrans for anyone looking for quality IT services, delivered in a professional manner

Nikolay Prokopiev

Chief Executive Officer

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